Analytics 50: How big data innovators reap results
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Analytics 50: How big data innovators reap results
Five winners of the 2016 CIO.com and Drexel University Analytics 50 awards share details of their projects, lessons learned and advice.
By Thor Olavsrud as written on cio.com

Data and analytics are reshaping organizations and business processes, giving organizations the capability to interrogate internal and external data to better understand their customers and drive transformative efficiencies.
Worldwide revenues for big data and business analytics clocked in at nearly $122 billion in 2015 and will grow to $187 billion in 2019, according to a five-year forecast from research firm IDC.
“Organizations able to take advantage of the new generation of business analytics solutions can leverage digital transformation to adapt to disruptive changes and create competitive differentiation in their markets,” said IDC analyst Dan Vesset in a statement issued in conjunction with the release of IDC’s Worldwide Semiannual Big Data and Analytics Spending Guide earlier this year. “These organizations don’t just automate existing processes — they treat data as they would any valued asset by using a focused approach to extracting and developing the value of information.”
Additionally, a recent Forrester Research study, commissioned by the global data and analytics team at KPMG, found that 50 percent of businesses now use data and analytics tools to analyze their existing customers, while 48 percent use them to find new customers and 47 percent use them to develop new products and services.
The picture isn’t entirely rosy, however. That same Forrester study found that many organizations are struggling to adjust their cultures to a world in which data and analytics play a central role, and many business executives mistrust the insights generated by data and analytics.
Other organizations, however, have taken naturally to data and analytics and are using new tools to better understand customers, develop new products and optimize business processes.
To honor those organizations, CIO.com and Drexel University’s LeBow College of Business recently announced the first Analytics 50 awards. The winners represent a broad spectrum of industries, from pharmaceuticals and healthcare to sports and media.
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A data-focused culture helped one sales team achieve a 36% increase in average win value. There’s no good reason to leave all that money on the table—the value of data analysis is undeniable.
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4 Ways Real Companies Sell Smarter with Sales Analytics
By Stephanie Dart, Director of Product Marketing with Microsoft Dynamics as written on community.dynamics.com
All sales managers want better numbers from their teams, but many are ignoring the obvious solution. A paltry 15 percent of organizations use analytics to drive objectives. Investing in analytics isn’t just a nice idea if you have the time and money to make it work. A sales team backed by superior data analysis is an unbeatable force. Sales analytics is a time-tested way to get more from the employees and customers you already have and uncover opportunities you may have missed.
Analytics helps sales teams:
• Identify overlooked opportunities
• Find ways to turn existing customers into repeat customers
• Track individual customer trends
• Develop new offerings to satisfy customer need
• And more
Identify overlooked opportunities
Your reps can’t spend all day trolling the Internet for hot tips. That’s where intelligent business software comes in. Kennametal, a leading material science and manufacturing company, uses Microsoft Dynamics CRM to track customers in the news. Whenever client-specific content appears in sources such as The Wall Street Journal or NPR, the CRM software aggregates the headlines and delivers them to sales and marketing teams. That way, the sales team can act right away when opportunities arise. And up-to-the-minute knowledge of their customers’ competitive landscape helps sales reps generate new leads and engage in productive conversations with current clients.
Find ways to turn existing customers into repeat customers
Marketing and sales go hand in hand when it comes to customer retention and have for a long time. Analytics can turn traditional methods into sure-fire outreach. Mike McMinn, Group IT Director for the English pub chain Marston’s, links his company’s enthusiasm about data analytics to the trackability of ROI. “In the UK, companies have a tendency to just give out offers. We want to provide a better experience by knowing customers better—and knowing which of our efforts are paying off. If we can understand our customers better, [using] campaigns that encourage them to buy just one more pint we can increase our profit by several millions of pounds per year.”
Analytics can also reveal how and when your customers need you the most, so you’re able to prepare for a rainy day. When bridge repairs shut down a transit route, Transport for London prepared by studying commuter behavior. The data told a very clear story, so the transportation authority developed strategies—a temporary interchange, increased bus service in the area, personalized commuter notifications—that would keep riders using public transit despite the closure.
Track individual customer trends
On a sales team, you’re going to get good data only if your whole team is invested in tracking it all the time. Reporting software that’s easy to use makes sales teams more agile and increases the quality of the output.
Kennametal finds that visual reporting (like what Microsoft Dynamics CRM offers) helps surface spikes and trends, and this reporting provides insight into profitability and allows for detailed drilling down to the customer-detail level. Better still, reporting can be automated to provide regular updates on how the company is performing against projections. And anyone can access these tools across the organization at any time. No special analytics background required.
Develop new offerings to satisfy customer need
At accounting firm Grant Thornton, analytics is also indispensable in the discovery and development of new sales offerings. Data uncovers demands and desires that customers can’t even clearly articulate. Insights gathered according to line of service, type of service, revenue, and other factors can reveal an untapped opportunity—so the accounting firm can capitalize on it and satisfy a customer need.
We’ve highlighted four advantages here, but there are countless ways analytics can bolster your sales organization. The insights that data analysis can provide a sales team make very smart people even smarter. Since deploying Microsoft Dynamics CRM, Grant Thornton has experienced a 450 percent jump in the number of opportunities it is tracking, a 36 percent increase in average win value, and a 700 percent rise in the number of contacts in its system. Numbers don’t lie. Let them help your team reach the next level.
For information on deploying Microsoft Dynamics CRM in your organization, please call us at 800-257-0691 or fill out the contact form below and an expert will contact you shortly.
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Cortana Analytics Gallery - a scalable community site built on Azure DocumentDB

Cortana Analytics Gallery - a scalable community site built on Azure DocumentDB
By Andrew Hoh Program Manager, Azure DocumentDB as written on azure.microsoft.com . Co-authored with Elena Apreutesei, Principal Software Engineer, Azure Machine Learning.
The Cortana Analytics Gallery is a community driven website used to discover, share, and learn about solutions built from the Cortana Analytics Suite. The Gallery hosts a wide range of solutions; everything from a Retail Forecasting experiment to the ever popular Face APIs used in the How old do I look? app. Machine Learning enthusiasts can share their own experiments using the Azure Machine Learning Studio, a private space focused on Machine Learning experimentation and model creation.
The Cortana Analytics Gallery follows a micro service architecture with single purpose components working together to deliver reliable and durable functionality. This post focuses on the Gallery Catalog API, which is used as the data master within the Gallery user experience.
Gallery Catalog API
Every Gallery entity has a JSON metadata document stored in Azure DocumentDB and all CRUD (create, read, update, and delete) operations are against DocumentDB. As a micro service, the Gallery Catalog API provides REST APIs and supports OData; both of which were built through the ASP.NET library WebApi. Generally, the Catalog API pushes the query filters provided through ODATA directly down to the DocumentDB LINQ provider as an ExpressionTree, where it gets executed at the database.
The Gallery Catalog service exposes GET / POST / PATCH / DELETE operations on standard WebAPI routes, such as the generic route /entities/{entityId} and the specialized routes /experiments/{entityId}, /collections/{entityId}, /tutorials/{entityId}, etc.
The JSON objects in the REST API payload are simply the serialized form of the Catalog entity data contracts, derived from a common class EntityBase which provides the flexibility to store other entities.
Source: https://azure.microsoft.com/en-us/blog/cortana-analytics-gallery-a-scalable-community-site-built-on-azure-documentdb/
The data scientist: helpful to all, hired by the wise